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Exponential probability inequality for linearly negative quadrant dependent random variables

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Abstract

In this paper, a Berstein-Hoeding type inequality is estab-lished for linearly negative quadrant dependent random variables. A con-dition is given for almost sure convergence and the associated rate ofconvergence is specied.

참고문헌 (10)

  1. "Exponential inequalities in nonparametric estimation. In", (nparametric functional estimation and related topics) (1991), Kluwer Academic Publishers
  2. "Probability inequalities for sums of bounded random variables" (1963)
  3. "Independence via un correlatedness under certain dependence structures" (1983)
  4. "Negative association of random variables with applica-tions" (1983)
  5. "A central limit theorem for general weightedsums of LNQD random variables and its applications Rocky Mountain J. of Math."
  6. "Some concepts of dependence" (1966)
  7. "A note on the almost sure convergence of sums of negatively dependentrandom variables" (1992)
  8. "Asymptotic independence and limit theorems for positively and nega-tively dependent random variables. In Inequalities in Statistics andProbability" (1984), IMS Lectures Notes-Monograph Series
  9. "Exponential probability inequalities with some applications. In: Fergu-son, T. S., Shapely, L. S., MacQueen, J. B.(Ed.), Statistics, Probability and GameTheory", 30, pp.303~309 (1996)
  10. "A comparison theorem on moment inequalities between negatively associatedand independent random variables", 13, pp.343~355 (2000)

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